Benchmarking imputation methods for network inference using a novel method of synthetic scRNA-seq data generation

Benchmarking imputation methods for network inference using a novel method of synthetic scRNA-seq data generation

Abstract Background Single cell RNA-sequencing (scRNA-seq) has very rapidly become the new workhorse of modern biology providing an unprecedented global view on cellular diversity and heterogeneity. In particular, the structure of gene-gene expression correlation contains information on the underlyi...

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Bibliographic Details
Main Authors: Ayoub Lasri, Vahid Shahrezaei, Marc Sturrock
Format: Article
Language:English
Published: BMC 2022-06-01
Series:BMC Bioinformatics
Subjects:
Gene regulatory networks
Network inference
Imputation
scRNA-seq
Benchmarking
Stochastic simulation
Online Access:https://doi.org/10.1186/s12859-022-04778-9

Internet

https://doi.org/10.1186/s12859-022-04778-9

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